Abstract: A method, system and computer program product for facilitating risk mitigation of information security threats. Data obtained from at least one tracked data source is analyzed for identifying at least one event related to a threat, to be stored in a database comprising date and time of each event identified, enabling generation of threat timeline comprising temporally ordered sequence of each event related to respective threat identified. Features selected using correlation between features from threat timelines in the database and labeling assigned using records of threat usage incidents are extracted from events in threat timeline for the threat which the at least one event related thereto being identified and based thereon a dynamic score indicating an estimated level of risk posed by the threat is calculated using at least one machine learning model for predicting threat usage during a time window defined, enabling risk mitigation based on outputted indication thereof.